AVP/ VP, Transaction Surveillance, FCC

Key Responsibilities:

• Lead threshold tuning and scenario calibration to improve alert precision and reduce false positives.

• Collaborate with Group and local stakeholders on system design, configuration, and strategic enhancements.

• Oversee AI/ML model integration, performance monitoring, and governance for suspicious activity detection.

• Manage system upgrades, UAT, and deployment of new detection logic with minimal disruption.

• Maintain clear documentation for system settings, tuning decisions, and model governance.

• Monitor system metrics and deliver actionable insights to senior management and regulators.

• Develop and maintain scripts (e.g., SQL) for data extraction, scenario testing, and performance analysis.

• Support alert reviews and investigations during peak periods or for complex cases.

• Apply network analytics and link analysis to uncover hidden relationships and transaction patterns.

• Contribute to the development of dashboards and reports for management and regulatory reporting.

• Provide expert support during audits, inspections, and risk reviews.

• Stay current of emerging technologies and regulatory trends in AI-driven surveillance and transaction monitoring.

Requirement:

• Bachelor’s degree in Finance, Computer Science, Data Analytics, or related discipline.

• At least 6–8 years of experience in AML surveillance, with exposure to AI-based detection systems.

• Strong understanding of AML typologies, regulatory standards, and transaction monitoring platforms (e.g., Actimize, Mantas, SAS).

• Proven experience in threshold tuning, scenario calibration and system configuration

• Proficiency in SQL and Python for data extraction, analysis, and scenario testing.

• Proven ability to manage cross-functional initiatives and collaborate with Group-level stakeholders.

• Strong communication, analytical thinking, and stakeholder engagement skills.